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GaussianFitter (Commons Math 3.2 API)
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org.apache.commons.math3.fitting</FONT>
<BR>
Class GaussianFitter</H2>
<PRE>
<A HREF="http://download.oracle.com/javase/6/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">java.lang.Object</A>
  <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html" title="class in org.apache.commons.math3.fitting">org.apache.commons.math3.fitting.CurveFitter</A>&lt;<A HREF="../../../../../org/apache/commons/math3/analysis/function/Gaussian.Parametric.html" title="class in org.apache.commons.math3.analysis.function">Gaussian.Parametric</A>&gt;
      <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><B>org.apache.commons.math3.fitting.GaussianFitter</B>
</PRE>
<HR>
<DL>
<DT><PRE>public class <B>GaussianFitter</B><DT>extends <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html" title="class in org.apache.commons.math3.fitting">CurveFitter</A>&lt;<A HREF="../../../../../org/apache/commons/math3/analysis/function/Gaussian.Parametric.html" title="class in org.apache.commons.math3.analysis.function">Gaussian.Parametric</A>&gt;</DL>
</PRE>

<P>
Fits points to a <A HREF="../../../../../org/apache/commons/math3/analysis/function/Gaussian.Parametric.html" title="class in org.apache.commons.math3.analysis.function"><CODE>Gaussian</CODE></A> function.
 <p>
 Usage example:
 <pre>
   GaussianFitter fitter = new GaussianFitter(
     new LevenbergMarquardtOptimizer());
   fitter.addObservedPoint(4.0254623,  531026.0);
   fitter.addObservedPoint(4.03128248, 984167.0);
   fitter.addObservedPoint(4.03839603, 1887233.0);
   fitter.addObservedPoint(4.04421621, 2687152.0);
   fitter.addObservedPoint(4.05132976, 3461228.0);
   fitter.addObservedPoint(4.05326982, 3580526.0);
   fitter.addObservedPoint(4.05779662, 3439750.0);
   fitter.addObservedPoint(4.0636168,  2877648.0);
   fitter.addObservedPoint(4.06943698, 2175960.0);
   fitter.addObservedPoint(4.07525716, 1447024.0);
   fitter.addObservedPoint(4.08237071, 717104.0);
   fitter.addObservedPoint(4.08366408, 620014.0);
   double[] parameters = fitter.fit();
 </pre>
<P>

<P>
<DL>
<DT><B>Since:</B></DT>
  <DD>2.2</DD>
<DT><B>Version:</B></DT>
  <DD>$Id: GaussianFitter.java 1416643 2012-12-03 19:37:14Z tn $</DD>
</DL>
<HR>

<P>
<!-- ======== NESTED CLASS SUMMARY ======== -->

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<CODE>static&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../org/apache/commons/math3/fitting/GaussianFitter.ParameterGuesser.html" title="class in org.apache.commons.math3.fitting">GaussianFitter.ParameterGuesser</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Guesses the parameters <code>norm</code>, <code>mean</code>, and <code>sigma</code>
 of a <A HREF="../../../../../org/apache/commons/math3/analysis/function/Gaussian.Parametric.html" title="class in org.apache.commons.math3.analysis.function"><CODE>Gaussian.Parametric</CODE></A>
 based on the specified observed points.</TD>
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<!-- ======== CONSTRUCTOR SUMMARY ======== -->

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<TD><CODE><B><A HREF="../../../../../org/apache/commons/math3/fitting/GaussianFitter.html#GaussianFitter(org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer)">GaussianFitter</A></B>(<A HREF="../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultivariateVectorOptimizer.html" title="class in org.apache.commons.math3.optim.nonlinear.vector">MultivariateVectorOptimizer</A>&nbsp;optimizer)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Constructs an instance using the specified optimizer.</TD>
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<CODE>&nbsp;double[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../org/apache/commons/math3/fitting/GaussianFitter.html#fit()">fit</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fits a Gaussian function to the observed points.</TD>
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<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../org/apache/commons/math3/fitting/GaussianFitter.html#fit(double[])">fit</A></B>(double[]&nbsp;initialGuess)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fits a Gaussian function to the observed points.</TD>
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<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class org.apache.commons.math3.fitting.<A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html" title="class in org.apache.commons.math3.fitting">CurveFitter</A></B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#addObservedPoint(double, double)">addObservedPoint</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#addObservedPoint(double, double, double)">addObservedPoint</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#addObservedPoint(org.apache.commons.math3.fitting.WeightedObservedPoint)">addObservedPoint</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#clearObservations()">clearObservations</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#fit(int, T, double[])">fit</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#fit(T, double[])">fit</A>, <A HREF="../../../../../org/apache/commons/math3/fitting/CurveFitter.html#getObservations()">getObservations</A></CODE></TD>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<A NAME="GaussianFitter(org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer)"><!-- --></A><H3>
GaussianFitter</H3>
<PRE>
public <B>GaussianFitter</B>(<A HREF="../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultivariateVectorOptimizer.html" title="class in org.apache.commons.math3.optim.nonlinear.vector">MultivariateVectorOptimizer</A>&nbsp;optimizer)</PRE>
<DL>
<DD>Constructs an instance using the specified optimizer.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>optimizer</CODE> - Optimizer to use for the fitting.</DL>
</DL>

<!-- ============ METHOD DETAIL ========== -->

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<A NAME="fit(double[])"><!-- --></A><H3>
fit</H3>
<PRE>
public double[] <B>fit</B>(double[]&nbsp;initialGuess)</PRE>
<DL>
<DD>Fits a Gaussian function to the observed points.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>initialGuess</CODE> - First guess values in the following order:
 <ul>
  <li>Norm</li>
  <li>Mean</li>
  <li>Sigma</li>
 </ul>
<DT><B>Returns:</B><DD>the parameters of the Gaussian function that best fits the
 observed points (in the same order as above).<DT><B>Since:</B></DT>
  <DD>3.0</DD>
</DL>
</DD>
</DL>
<HR>

<A NAME="fit()"><!-- --></A><H3>
fit</H3>
<PRE>
public double[] <B>fit</B>()</PRE>
<DL>
<DD>Fits a Gaussian function to the observed points.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the parameters of the Gaussian function that best fits the
 observed points (in the same order as above).</DL>
</DD>
</DL>
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